MARS: Mobile Application for Regulating Smoking
- Goal: Develop a Just-In-Time Adaptive Intervention (JITAI) to enhance real-time, real-world engagement in evidence-based self-regulatory activities
- Theoretical Framework:
- Vulnerability, Receptivity, Latent states
- Measurement: 5 studies of ~1,500 smokers attempting to quit. Macro time scales (demographics, SES, mental health,self-efficacy, etc.) and micro time scales(heart rate variability, EMA, GPS)
- Modeling: Machine learning (for pattern mining) and probabilistic latent variable models. Joint modeling of EMA, location, sensor, and time-to-event as a function of two underlying latent states
Project Person